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  2. Vector database - Wikipedia

    en.wikipedia.org/wiki/Vector_database

    A vector database, vector store or vector search engine is a database that can store vectors (fixed-length lists of numbers) along with other data items. Vector databases typically implement one or more Approximate Nearest Neighbor algorithms, [1] [2] [3] so that one can search the database with a query vector to retrieve the closest matching database records.

  3. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    Mnesia is a distributed, soft real-time database management system written in the Erlang programming language. It is distributed as part of the Open Telecom Platform. MonetDB: MonetDB Solutions, CWI: 2004 SQL, ODBC, JDBC, C, C++, Java, Python, PHP, Node.js, Perl, Ruby, R, MAL open-source MonetDB License, based on MPL 2.0 as of version Jul2015.

  4. Database schema - Wikipedia

    en.wikipedia.org/wiki/Database_schema

    The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term " schema " refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases ).

  5. Array programming - Wikipedia

    en.wikipedia.org/wiki/Array_programming

    While scalar languages like C do not have native array programming elements as part of the language proper, this does not mean programs written in these languages never take advantage of the underlying techniques of vectorization (i.e., utilizing a CPU's vector-based instructions if it has them or by using multiple CPU cores).

  6. EXPRESS (data modeling language) - Wikipedia

    en.wikipedia.org/wiki/EXPRESS_(data_modeling...

    EXPRESS is similar to programming languages such as Pascal. Within a SCHEMA various datatypes can be defined together with structural constraints and algorithmic rules. A main feature of EXPRESS is the possibility to formally validate a population of datatypes - this is to check for all the structural and algorithmic rules.

  7. Milvus (vector database) - Wikipedia

    en.wikipedia.org/wiki/Milvus_(vector_database)

    Column-oriented database; Four supported data consistency levels, including strong consistency and eventual consistency. [13] Data sharding; Streaming data ingestion, which allows to process and ingest data in real-time as it arrives; A dynamic schema, which allows inserting the data without a predefined schema; Independent storage and compute ...

  8. TypeDB - Wikipedia

    en.wikipedia.org/wiki/TypeDB

    To specify schemas and to create, modify, and extract data from the TypeDB database, programmers use the query language TypeQL. The language is noteworthy for its intended resemblance to natural language, following a subject-verb-object statement structure for a fixed set of “key verbs” ( see § Examples ).

  9. Outline of databases - Wikipedia

    en.wikipedia.org/wiki/Outline_of_databases

    The following is provided as an overview of and topical guide to databases: Database – organized collection of data, today typically in digital form. The data are typically organized to model relevant aspects of reality (for example, the availability of rooms in hotels), in a way that supports processes requiring this information (for example, finding a hotel with vacancies).